An Empirical Evaluation of Two General Game Systems: Ludii and RBG

Eric Piette*, Matthew Stephenson, Dennis Soemers, Cameron Browne

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Although General Game Playing (GGP) systems can facilitate useful research in Artificial Intelligence (AI) for game-playing, they are often computationally inefficient and somewhat specialised to a specific class of games. However, since the start of this year, two General Game Systems have emerged that provide efficient alternatives to the academic state of the art –the Game Description Language (GDL). In order of publication,these are the Regular Board games language (RBG), and the Ludii system. This paper offers an experimental evaluation of Ludii.Here, we focus mainly on a comparison between the two new systems in terms of two key properties for any GGP system: simplicity/clarity (e.g. human-readability), and efficiency.
Original languageEnglish
Title of host publication2019 IEEE CONFERENCE ON GAMES (COG)
Subtitle of host publication(COG'19)
Number of pages4
ISBN (Print)9781728118840
Publication statusPublished - 23 Aug 2019
EventIEEE Conference on Games (IEEE COG) - London, United Kingdom
Duration: 20 Aug 201923 Aug 2019

Publication series

SeriesIEEE Conference on Computational Intelligence and Games


ConferenceIEEE Conference on Games (IEEE COG)
Country/TerritoryUnited Kingdom
Internet address


  • General Game Playing
  • knowledge representation
  • General Game AI

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